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Table 1 Classification of articles on econometric techniques to estimate economies of scale and/or scope

From: Economies of scale and scope in publicly funded biomedical and health research: evidence from the literature

Econometric technique to estimate economies of scale and/or scope Articles
Group 1. Through the selection of proxy variables Arora et al. [7], Brahm & Tarziján [8], De & Nagaraj [11], Horta & Lacy [56], Plotnikova [9], Qin & Buccola [57], Shakina & Barajas [10]
Group 2. Analysis of multi-product cost functions Agasisti & Johnes [14], Duch-Brown & Parellada-Sabata [18], Fu et al. [58], Johnes & Johnes [15], Johnes & Schwarzenberger [16], Longlong et al. [59], Mamun [19], Martins et al. [20], Sav [17], Sav [13], Worthington & Higgs [60]
Group 3. Analysis of multi-product production functions Bonaccorsi et al. [27], Cardamone [28], Chavas et al. [21], De Witte et al. [26], Ferrier et al. [24], Ferrier et al. [25], Hadad et al. [29], Podinovski & Førsund [30], Pope & Johnson [23], Ray [61], Schubert [22], Yip et al. [62]
Others Cho & McCardle [63] (discrete-time infinite-horizon model for a technology-purchasing firm),
Mayer-Haug et al. [64] (meta-analysis)
Nemoto & Furumatsu [65] (input distance function approach)
Olivares & Wetzel [51], Oh et al. [66] (comparison between a parametric production function approach and a nonparametric approach)
Saal et al. [67] (summary of various methodologies)
  1. Source: Authors’ elaboration